Senior Software Engineer, Market Data

Ridgeline•Reno, NV

3d•Hybrid

About The Position

As a Ridgeline Senior Software Engineer on our Market Data team, you’ll have the opportunity to build high-quality, complex, industry-defining applications. This team is building the market data backbone of Ridgeline—transforming large volumes of financial data into the trusted, decision-critical data that drives investment decisions. You’ll work on a platform being built from the ground up using cutting-edge technologies in a fast-moving, creative, and progressive environment. As an AI-native company, we leverage modern AI tooling, such as Claude and Cursor, to enhance engineering productivity, accelerate problem-solving, and continuously raise the bar on code quality and system design. You must be work authorized in the United States without the need for employer sponsorship The impact you will have: Contribute accounting domain knowledge, design skills, and technical expertise to a team where design, product, and engineering collaborate closely Model the Market Data business domain in Ridgeline’s eco-system Contribute to the entire AI-native software development process, from requirements and design reviews to shipping code and observing how it lands with our customers. Impact a maturing tech stack based on AWS back-end services Participate in the creation and construction of developer-based automation that leads to scalable, high-quality applications customers will depend on to run their businesses Think creatively, own problems, seek solutions, and communicate clearly along the way Contribute to a collaborative environment deeply rooted in learning, teaching, and transparency Participate in production support, including on-call rotation, ensuring high availability for customer-facing systems

Requirements

5+ years experience in a software engineering
Experience in Java or Kotlin
Experience building cloud native applications on AWS/Azure/Google Cloud
Experience with event driven systems and stream processing
A degree in Computer Science, Information Science, or a related discipline
Experience being on-call
Experience with production instrumentation, observability, and performance monitoring
Willingness to learn about new technologies while simultaneously developing expertise in a business domain/problem space
Ability to leverage AI every day, in all phases of an AI native SDLC to collaborate on designs, improve testing strategies, and deliver high-impact solutions
Ability to focus on short-term deliverables while maintaining a big-picture long term perspective
An aptitude for complex problem-solving
Excellent communication skills, both written and verbal with the ability to communicate with colleagues at all levels
Ability to adapt to a fast-paced and changing environment
Serious interest in having fun at work

Nice To Haves

Experience in Portfolio Accounting, Reconciliation, Market Data, or other Fintech applications
Experience building Backend for Frontend systems
Understanding of AWS services and infrastructure
Experience with Docker or containerization
Experience with agile development methodologies
Experience with React
Ability to handle multiple projects and prioritize effectively
Ability to amplify the ideas of others
Responsibility to deliver an excellent product that extends beyond coding

Responsibilities

Contribute accounting domain knowledge, design skills, and technical expertise to a team where design, product, and engineering collaborate closely
Model the Market Data business domain in Ridgeline’s eco-system
Contribute to the entire AI-native software development process, from requirements and design reviews to shipping code and observing how it lands with our customers.
Impact a maturing tech stack based on AWS back-end services
Participate in the creation and construction of developer-based automation that leads to scalable, high-quality applications customers will depend on to run their businesses
Think creatively, own problems, seek solutions, and communicate clearly along the way
Contribute to a collaborative environment deeply rooted in learning, teaching, and transparency
Participate in production support, including on-call rotation, ensuring high availability for customer-facing systems